SLO Success Stories: How Top Tech Companies Use Error Budgets to Improve Reliability

Published on 18 April 2025 by Zoia Baletska

Service Level Objectives (SLOs) and error budgets are fundamental components of Site Reliability Engineering (SRE), enabling organizations to balance system reliability with the pace of innovation. By setting clear reliability targets and defining acceptable margins for errors, companies can make informed decisions about feature rollouts and system maintenance. Several leading tech companies have successfully implemented these concepts to enhance their service reliability.
Evernote's Transition to SLO-Centric Operations
Evernote, a cross-platform app with over 220 million users, undertook a significant technological revamp to increase engineering velocity while maintaining service quality. Transitioning from traditional operations to a public cloud infrastructure, Evernote introduced SLOs to align internal teams and ensure user satisfaction. This shift allowed the company to focus on product engineering that directly impacted customer experience, moving away from routine data center maintenance [1].

The Home Depot's Measurement of SLOs
The Home Depot (THD) adopted SLOs to enhance service reliability. While specific measurement styles, Service Level Indicators (SLIs), and implementation details differed from other companies, THD's approach underscores the adaptability of SLO frameworks to meet unique organizational needs [2].

Google Cloud's Key Management Service (KMS) Implementation
Google's Cloud Key Management Service (KMS) team set a 99.99% availability SLO upon the service's introduction. By closely monitoring and iterating on the service, the team not only met but exceeded this high availability target, demonstrating the effectiveness of stringent SLOs in guiding reliability efforts [3].

HubSpot's Commitment to Platform Uptime
HubSpot, a marketing and sales software company, established an SLO requiring at least 99.95% platform uptime. Through continuous monitoring, regular maintenance, and swift issue resolution, HubSpot has maintained an uptime exceeding 99.99% in recent years, reflecting a strong commitment to service reliability [4].

Implementing Error Budgets for Balanced Development with Agile Analytics
Error budgets serve as a mechanism to balance the introduction of new features with system reliability. For instance, a service with a 99.9% availability SLO has a 0.1% error budget, equating to 1,000 errors per 1,000,000 requests over a specific period. Exceeding this budget prompts teams to prioritize system stability over new developments, ensuring that reliability standards are upheld.
However, tracking and managing error budgets effectively requires visibility into real-time performance metrics and historical trends. This is where Agile Analytics comes into play. By offering actionable insights into service-level indicators (SLIs), SLO breaches, and error budget consumption, Agile Analytics helps teams make informed decisions about when to ship features and when to focus on reliability improvements. With built-in dashboards, anomaly detection, and trend analysis, teams can proactively address potential reliability risks before they escalate into major incidents.

Conclusion
The experiences of Evernote, The Home Depot, Google, and HubSpot illustrate the tangible benefits of implementing SLOs and error budgets. By defining clear reliability targets and acceptable error margins, these companies have improved their service reliability, leading to enhanced user satisfaction and operational efficiency.
For organizations looking to streamline their SLO tracking and error budget management, Agile Analytics provides a comprehensive platform that integrates real-time data, automates monitoring, and offers predictive analytics. Whether you're an SRE team aiming to prevent unplanned downtime or a product leader balancing innovation with stability, Agile Analytics ensures that your SLOs drive business success rather than becoming just another metric on a dashboard.
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